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Vol 64, No 8 (2019)
- Year: 2019
- Articles: 23
- URL: https://journals.rcsi.science/1064-2269/issue/view/12523
Review
Development of the Electromagnetic Theory of Radio Waveguides
Abstract
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Electrodynamics and Wave Propagation
Synthesis of Impedance Transformers for Super-Wideband Two-Section Antenna Arrays
Abstract
Approximation of microwave transmission line is used to study synthesis of impedance transformers for super-wideband two-section antenna arrays. Several variants of a complicated nonmonotonic impedance transformer (two-section array that represents two monotonic or nonmonotonic and monotonic transformers) are considered. Parameters of step transformers are synthesized in the approximation of small coefficients of reflection from steps of characteristic impedances of the transmission line. The method for synthesis is extrapolated to continuous transformers. Variants of construction of two-section antenna arrays are compared, and the error of the approximate synthesis method is estimated.
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Investigation of the Influence of the Earth Ionosphere on the Radio Wave Propagation in the High-Frequency Range
Abstract
The features of the influence of the Earth ionosphere on the radio wave propagation at the frequencies 200—1200 MHz are considered by the bicharacteristic method. The phase incursion and refraction errors are investigated. The values of the Faraday rotation angle depending on the mutual orientation of the ray trajectories and the vector of the intensity of the external magnetic field are estimated.
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Antenna and Feeder Systems
Synthesis of Controlled Zeros in the Radiation Pattern of a Plane Phased Array Antenna Using Partial Patterns
Abstract
A method for synthesis of controlled zeros in the radiation pattern along the jamming direction is proposed for a plane phased array antenna. To solve the problem, it is suffice to calculate the amplitude–phase distribution for only one row (column) of antenna elements located on the array at the mesh points of rectangular or hexagonal cells.
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Bifocal Planar Slotted-Waveguide Antenna Array
Abstract
Abstract—A bifocal planar two-layer slotted-waveguide antenna array, consisting of a planar waveguide with one or several feed elements and an array of dielectric-filled rectangular metal waveguides with paired longitudinal slots in their wide walls has been proposed and investigated. The solution of the synthesis problem has shown that the shape of the reflector and coupling slot is elliptic, and it has made it possible to find the positions of the slots in the rectangular waveguides that can ensure the absence of phase aberrations for the two positions of the feed element in the planar waveguide. Using the phenomenological theory of slotted-waveguide arrays and the finite-element method, a numerical simulation of the beam-scanning characteristics for the feed element moved along the focal curve passing through the focuses of the ellipse has been performed. It has been shown that the scan sector of a planar bifocal array of a large electrical size and with an elliptic reflector is considerably larger than for a similar system with a parabolic reflector.
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Theory and Methods of Signal Processing
Correlation Functions of GBOC Navigation Signals as the Inverse Fourier Transform of the Energy Spectra
Abstract
The modulating functions (MFs) of GBOC signals (generalized BOC signals) of prospective satellite radio navigation systems, such as Galileo (EU), GPS (United States), and BeiDou (China), are considered. A method for calculating the correlation functions (CFs) of single elements of MFs of GBOC signals based on inverse Fourier transform (FT) of their energy spectra is proposed. The method is based on representation of the energy spectrum as a weighted algebraic sum of the cosines of angles determined by characteristic points of the sine symbol of MFs of GBOC signals (CF breakpoints). According to the method, analytical expressions for the CFs of single elements of MFs of GBOC signals are obtained as the inverse FT of energy spectra with a pulse multiplicity coefficient \({{N}_{{\text{p}}}}\) = 2 and 4 for different duty cycle values ρ, where \(\rho \)\( \in \) [0, 1]. In some cases, calculation of the CFs of GBOC signals based on the inverse FT of energy spectra is preferable (in particular, in terms of labor-intensity) compared with the method of obtaining CFs based on its general definition.
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Signal Constructions Based on OFDM Signals Resistant to the Influence of Spectrum-Concentrated Interference
Abstract
A description is given of a class of signal structures that are resistant to the effects of narrowband interference based on OFDM signals and error-correcting coding. Algorithms for receiving these signal structures are given using the weighted processing of input implementations in the presence of channel interference under consideration and the criterion of weight windows is given. It is shown that the Kaiser and Dolph–Chebyshev weight windows belong to the class of practically optimal windows. The error-performance characteristics for a number of considered signal constructions formed using a convolutional code with a code rate of 1/2 are given.
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Estimating the Mean Square Error in Measuring Bearing by Calculating Phase Mismatch
Abstract
Abstract—The procedure for estimating the mean square error (MSE) in measuring bearing from a single signal sampling in direction-finding equipment based on digital antenna arrays is considered. An algorithm based on estimating the phase mismatch is proposed. It is shown that this algorithm makes it possible to estimate the MSE in accordance with the lower Kramer–Rao boundary.
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Dynamic Chaos in Radiophysics and Electronics
Analysis of the Link Budget of a Wireless Communication Channel with a Multipath Propagation in Ultra Wideband Systems
Abstract
An experiment to study the multipath propagation of ultra-wideband (UWB) chaotic radio pulses of the microwave range through a wireless channel inside buildings is described and its results are analyzed. The limitations that multipath propagation imposes on the link margin of UWB communication lines on chaotic radio pulses are established.
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Theory of Radio Circuits
Tunable Floating Capacitance Multiplier Using Single Fully Balanced Voltage Differencing Buffered Amplifier
Abstract
An alternative circuit configuration for realizing an electronically adjustable floating capacitance multiplier is presented in this article. By consisting of only one fully balanced-voltage differencing buffered amplifier (FB-VDBA), one resistor and one capacitor, the presented multiplier circuit is canonical structure, and does not require any critical element matching constrain. The equivalent value of the simulated capacitance is adjustable by tuning the bias current of the FB-VDBA. The effect of the FB-VDBA non-idealities on the realized capacitance has been considered in detail. The proposed floating capacitance multiplier has been utilized, as an example application, in the design of a second-order RLC band-pass filter. To support the theory, some computer simulations with PSPICE software are also reported.
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Microwave Electronics
Study and Development of Low-Temperature Co-Fired Ceramics for High-Frequency Microwave Devices
Abstract
We report the results of the theoretical study and experimental development of a technique for fabricating low-temperature co-fired ceramics used in microwave devices and the results of the calculation and fabrication of two ceramic slips made with different types of glass for the formation of low-temperature co-fired green ceramic tape. It has been experimentally confirmed that the developed binding composition exhibits properties similar to those of Ferro A6M ceramics. It is demonstrated that the glass-forming components BaO and PbO make it possible to increase the permittivity and decrease the dissipation factor of the entire material. The main characteristics of the obtained material are compared with those of low-temperature co-fired Ferro A6M ceramics.
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Novel Radio Systems and Elements
Features of the Low-Temperature Heat Capacity of Er3 –xTmxAl5O12 Garnet Single Crystals
Abstract
In this paper, we present the results of studies of the heat capacity of single-crystal garnets Er3 ‒ xTmxAl5O12 (x = 0, 1, 2, 3) in magnetic fields of up to 9 T and in the temperature range 1.9–220 K. The temperature dependences of the heat capacity are approximated using the sum of the contributions of Schottky anomalies associated with magnetic Er3+ and Tm3+ ions and the Debye and Einstein lattice contributions. Entropy and magnetic entropy are calculated using the heat capacity data. With an increase in the magnetic field, entropy is shown to decrease. This indicates the possibility of using the studied garnets in the adiabatic demagnetization method.
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Electronic Amplifier for Modern Acousto-Optical Spectrometers
Abstract
The paper presents an analysis of electronic amplifiers for modern acousto-optical spectrometers, based on two-crystal sequential diffraction of incident radiation by acoustic waves propagating in each acousto-optical (AO) cell. Such a diffraction scheme has a higher spectral resolution, retaining all the other advantages of traditional AO spectrometers. A description of the functional block diagram of a two-crystal AO spectrometer is given, and the necessary requirements for electronic units are indicated. The results of joint use of the signal power amplification device and a previously developed wideband frequency synthesizer for exciting sound waves in AO cells are presented; output amplitudes of amplified signals are obtained.
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Selective Surface Acoustic Wave Detection of the Temperature of a Liquid Microsample
Abstract
Abstract—Surface acoustic wave-based high-sensitivity selective temperature sensor prototypes have been developed that operate independently of the rest of the physical parameters of liquids. The selectivity is provided by excluding physical contact between a surface acoustic wave and a tested sample. To enhance the sensitivity, the wave path from a transmitter to a receiver has been increased and the fifth wave harmonic has been used. The operation threshold of the prototypes has been reduced to 0.03–0.005°С.
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Mathematical Models and Computational Methods
Design of a Block-Software System for a Posteriori Analysis and Restoration of Multispectral Images
Abstract
Abstract—A prototype of the block-software system that is able to solve the main problems of image restoration and additional problems related to analysis/diagnostics of images and generation of databases of synthesized test images is proposed. The system can be used in the regime of emulation of the process of image transformation including blurring, analysis, and restoration (which allows tuning and training of the system for a specific device) and in the regime of analysis and restoration of blurred images. A method for estimation of the blurring operator using the observed blurred image is proposed. A learning algorithm for recognition of typical linear distortion operators is used to determine the type of blurring operator.
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Diagnostic Model that Takes Medical Preferences into Account. Prediction of the Clinical Status of Prostate Cancer
Abstract
Abstract—A mathematical model is proposed to describe and solve problems of medical diagnostics and forecasting based on a risk criterion. Within the framework of the model, problems with ranked diagnoses are considered, whose solution benefits from taking medical preferences into account. A diagnostic algorithm, which is the implementation of this model, is used to solve the problem of predicting the clinical status of prostate cancer. A comparative analysis of the quality of the prediction for four model options was carried out, informative prognostic indicators were revealed, and the results were interpreted. Taking medical preferences into account increases the accuracy of prediction for patients with more frequent and aggressive tumor process due to loss of accuracy for patients with less frequent and aggressive tumor process.
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Training of Neural Network-Based Cascade Classifiers
Abstract
Abstract—Deep Artificial Neural Networks (ANNs) achieve state-of-art performance in many computer vision tasks; however, their applicability in the industry is significantly hindered by their high computational complexity. In this paper we propose a model of ANN classifier with cascade architecture, which allows to lower the average computational complexity of the system by classifying simple input samples without performing full volume of calculations. We propose a method for joint optimization of all ANNs of the cascade. We introduce joint loss function that contains a term responsible for the complexity of the model and allows to control the ratio of the precision and speed of the resulting system. We train the model on CIFAR-10 dataset with the proposed method and show that the resulting model is a Pareto improvement (regarding to speed and precision) compared to the model trained in a traditional way.
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Theory and Methods of Information Processing
Quasi-Incoherent Filtration Algorithm for Linear Recurrent Sequences
Abstract
Abstract—This paper considers the problem of synchronization in information transmission systems that use noiselike signals based on linear recurrent sequences (LRSs). For a model of a sequence of characters we use an approach associated with the representation of an LRS as a Markov chain. Radio access systems use synchronization for pilot sequences based on LRSs, which can be received using the algorithms described in this paper. The paper is devoted to the synthesis of quasi-incoherent recurrent LRS-filtration algorithms; the results of their statistical simulation are presented.
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Data Transmission in Computer Networks
Analysis of the Radio Channel Capacity of a MIMO System under the Conditions of Spatially Correlated Fadings
Abstract
The results of a theoretical analysis and computer simulation of the capacity of a MIMO system under the conditions of spatially correlated fadings are presented. As a result of the theoretical analysis, approximate analytical expressions are obtained for the capacity of the MIMO system radio channel. These expressions make it possible to analytically derive quantitative estimates of the capacity of the MIMO system radio channel for various antenna configurations under the conditions of spatially correlated fadings. The results of the theoretical analysis are confirmed by simulation.
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Generalized Mathematical Model of Reliable Multicast Transmission in Modern Wi-Fi Networks
Abstract
Abstract—In modern Wi-Fi networks, a palette of methods specified in the latest version of the IEEE 802.11 standard can be used to provide reliable multicast transmission. According to these methods, which differ in the acknowledgment policy, it is recommended to transmit multicast data in preliminarily reserved time intervals, which allows decreasing packet losses caused by collisions and interference with other network stations. In this paper, we develop a generalized mathematical model of multimedia flow reliable multicasting in periodic time intervals. For any of the multicast methods specified in the IEEE 802.11 standard, the model can be used to find transmission parameters that allow satisfying Quality of Service requirements of the flow with the minimum amount of reserved channel time.
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Approach to Real-Time Communications in Wi-Fi Networks
Abstract
Abstract—The development of wireless communication technologies attracts increased interest to scenarios that impose severe restrictions on data transmission reliability and latency. Such scenarios include real-time applications, such as industrial automation, remote control, video streaming, and virtual reality. It is very difficult to satisfy the requirements imposed on the quality of service with the currently widespread communication technologies. Specifically, it is currently impossible to guarantee a low delay in Wi-Fi networks due to some peculiarities of the applied channel access methods. In this work, we study an approach that provides a low latency and high reliability of communications in Wi-Fi networks on the basis of an additional radio air interface. This approach is studied using the mathematical model of a heterogeneous network, which consists of devices that generate prioritized and non-prioritized data packets. The results of studies show that this approach provides the ability to satisfy the requirements of real-time applications, when certain restrictions on the intensity of prioritized traffic are met. In this case, a decrease in the throughput for non-prioritized traffic is insignificant.
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Mathematical Model of a Network Slicing Approach for Video and Web Traffic
Abstract
Abstract—This paper presents the study of adaptive bitrate control algorithms used to control the quality of the video stream from video surveillance cameras to remote servers through a live wireless network with video and web traffic. In such a scenario, bitrate control algorithms may select an appropriate video bitrate taking the current state of the camera buffers into account. A mathematical model of video streaming is introduced that allows evaluation of the performance of different bitrate control algorithms.
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Algorithm for Dynamic Power Control and Scheduling in IEEE 802.11ax Infrastructure Networks
Abstract
Abstract—With the growth of the number of wireless networks and connected devices, the negative effect of the interference becomes more dramatic. One of the most promising ways to reduce interference is the simultaneous adjustment of transmission powers together with the scheduling of transmission by various network devices. When developing such solutions for wireless networks operating in the unlicensed spectrum, an important requirement is to take into account the regulatory restrictions on the transmission power, as well as the prohibition of data transmission if the power of the signal and noise detected in the channel exceeds a certain regulated threshold. In this paper, we propose an algorithm for optimizing the transmission powers of various stations and scheduling transmissions with above-mentioned restrictions. The proposed algorithm is based on the branch and bound method and allows finding the optimal solution with a specified accuracy in terms of the chosen utility function.
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